Co-supervisor in Signal Processing, Machine Learning & Artificial Intelligence

SUPSI DTI (Department of Innovative Technologies)

Ticino, Switzerland

Present - 2020

• MSc student co-supervision and expert at MSc thesis presentation.
• Drone noise cancelling using a mixed approach of Machine Learning, Artificial Intelligence and Signal Processing techniques (R, Matlab).

Consultant in Statistics

University of St Andrews, Tutorful Ltd.

Scotland, UK

Present - 2018

• Tutor and lead demonstrator in statistics, computer science, psychology and biology (R, Python, Matlab and SPSS).
• Tutor in statistics and GIS at CEED (Centre for Educational Enhancement and Development).
• 200+ hours taught in person and online.

Co-founder, Administrator & Data Analyst

EARFLY Sagl

Ticino, Switzerland

Present - 2017

• Flight board and drone noise analyst (R, Python, Matlab).
• Media, marketing and business management.
• Partnerships with sponsors and suppliers.
• Patent application.

Co-founder and Instructor

Guidare con Stile Sagl

Ticino, Switzerland

2020 - 2011

• Organizing one-day courses on road security, law compliance, accident prevention, nutrition, and abuse of psychoactive substances.
• Facilitating group discussion on relevant road issues.
• Organizing meetings with other co-founders.

Data Scientist and Software Engineer

SUPSI Earth Science Institute

Ticino, Switzerland

2016 - 2013

• Big multivariate time series analysis.
• Validating, cleaning and standardizing data for exploratory analysis and pattern identification.
• Statistical modelling and software development (Excel Visual Basic, R) to replace data gaps and make temporal predictions.

CREEM Scholarship

PhD award of £70’000 to cover tuition fees and living expenses for a period of 3.5 years.

N/A

Present - 2017

National Geographic Standard Grant

Grant of $30’000 to fund the fieldwork and part of the technology development of my PhD.

N/A

2020 - 2019

EPSRC Impact Acceleration Account

Grant of £2500 to finance part of the technology development of my PhD.

N/A

2019

PhD Student in Statistics & Statistical Computing

University of St Andrews, CREEM

Scotland, UK

Present - 2017

• New R-implemented statistical methodology to locate and map sound source using moving microphone arrays.
• Analysis of drone noise and flight data (R, Python, Matlab)
• Joint collaboration with the industry for the design and manufacture of the first acoustic multi-rotor drone as well as for drone noise cancelling.
• Successful National Geographic Standard Grant and EPSRC IAA applications.
• Organization and logistic planning of one-month fieldwork in Laos with Association Anoulak.

MSc in Applied Statistics (Marine Mammal Science)

University of St Andrews

Scotland, UK

2017 - 2016

• New R-implemented methodology that automates labour-intensive and time-consuming GIS spatial calculations as well as constructs density surfaces based on model predictions.
• Software development and parallel computing.

MSc in Applied Statistics (Biogeoscience)

University of Essex

Essex, UK

2015 - 2014

• New protocols to improve the quantification of small quantities of gases using a gas chromatograph.
• Monte-Carlo simulation and sensitivity analysis to estimate the biogenic gas release from coral reefs worldwide.

BSc in Biology

ETH Zürich

Zürich, Switzerland

2013 - 2010

Habitat partitioning in sympatric delphinids around the Falkland Islands: predicting distributions based on a limited dataset.

N/A

N/A

2020

Improving estimates of primary production in lakes: a test and a case study from a peri-alpine lake (Lake Lugano).

N/A

N/A

2017

Protocols for the Quantification of Dimethyl Sulfide (DMS) and Other Volatile Organic Compounds in Aquatic Environments.

N/A

N/A

2017

Quantification of dimethyl sulfide (DMS) production in the sea anemone Aiptasia sp. to simulate the sea-to-air flux from coral reefs.

N/A

N/A

2017